User:Mgkrupa - Wikipedia

Machine learning and data mining
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Paradigms Supervised learning Unsupervised learning Online learning Batch learning Meta-learning Semi-supervised learning Self-supervised learning Reinforcement learning Curriculum learning Rule-based learning Quantum machine learning
Problems Classification Generative modeling Regression Clustering Dimensionality reduction Density estimation Anomaly detection Data cleaning AutoML Association rules Semantic analysis Structured prediction Feature engineering Feature learning Learning to rank Grammar induction Ontology learning Multimodal learning
Supervised learning (classification • regression) Apprenticeship learning Decision trees Ensembles Bagging Boosting Random forest k-NN Linear regression Naive Bayes Artificial neural networks Logistic regression Perceptron Relevance vector machine (RVM) Support vector machine (SVM)
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift
Dimensionality reduction Factor analysis CCA ICA LDA NMF PCA PGD t-SNE SDL
Structured prediction Graphical models Bayes net Conditional random field Hidden Markov
Anomaly detection RANSAC k-NN Local outlier factor Isolation forest
Artificial neural network Autoencoder Cognitive computing Deep learning DeepDream Feedforward neural network Recurrent neural network LSTM GRU ESN reservoir computing Restricted Boltzmann machine GAN Diffusion model SOM Convolutional neural network U-Net Transformer Vision Mamba Spiking neural network Memtransistor Electrochemical RAM (ECRAM)
Reinforcement learning Q-learning SARSA Temporal difference (TD) Multi-agent Self-play
Learning with humans Active learning Crowdsourcing Human-in-the-loop RLHF
Model diagnostics Coefficient of determination Confusion matrix Learning curve ROC curve
Mathematical foundations Kernel machines Bias–variance tradeoff Computational learning theory Empirical risk minimization Occam learning PAC learning Statistical learning VC theory
Machine-learning venues ECML PKDD NeurIPS ICML ICLR IJCAI ML JMLR
Related articles Glossary of artificial intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning
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Move purely set-theoretic info. from Filters in topology and Filter (mathematics) to Filter (set theory). See also: Talk:Filter (mathematics)#"Proper" filters
- Maybe rename Filter (mathematics) to: Filter (order theory). See also: Talk:Filter (mathematics)#Proposal: Move this article to Filter (order theory)
Move content from User:Mgkrupa/Analysis of vector-valued curves into the article Differentiable vector–valued functions from Euclidean space
Fix article: Strong dual space
Maybe merge: Polar topology and Dual topology
Template:NU
Consider: The Hahn-Banach theorem article has a lot of info about linear extensions of linear functionals that does not fit well in that article. Maybe move that into an new article called "Linear extensions" that could more generally also have info about linear extensions of linear operators? Or maybe "Linear and sublinear extensions" to include info about extending seminorms and sublinear functionals (also in that article)?